Activity 2.1: Evaluate main predictors of occurrence of selected Billfish taxa using multi-level statistical models.
Historical billfish tagging data from African Billfish Foundation (from 1986 to date), The Billfish Foundation (TBF) and the Oceanographic Research Institute (ORI) will compliment new data which will be collected for this component to provide the trend over time. Spatial and temporal mapping for billfish species and associated attributes will be done using geoinformation tools. We will spatially map (i) billfish landing and marine occurrence hotspots (ii) gear and effort distribution. Read more...
Geographic description: Regional, Time Frame: 1-year, Responsible partner/s: Team leaders: Dr. Joseph Maina and Dr. Nelly Kadagi assisted by all contributing collaborators
Activity 2.2: Determine fundamental niche and possible distribution using statistical models and Earth Observation technology
Earth Observation technology coupled with species distribution modeling will be used to map possible locations where billfish may be found by relating satellite-based chlorophyll/ productivity with sightings of billfish (by commercial fishers and artisanal fishers). The distribution models will build on the multilevel-Bayesian models developed in Activity 2.1.
Geographic description: Regional, Time Frame: 1-year, Responsible partner/s: Team leader: Dr. Joseph Maina Mbui and assisted by all collaborators.